Article
Microbiology
Peng-Chao Zhan, Cong-Jian Li, Zhen Zhang, Rui-Feng Mao, Jing-Ran Liu, Xing-Wang Jiang, Xiao-Yang Zhi, Ling-Ling Yang
Summary: The novel endophytic strain YIM B02564(T) isolated from Yunnan Province, China, exhibited facultative anaerobic characteristics, tolerating 2% NaCl concentration. Phylogenetic analysis placed it within the genus Neobacillus. It represents a new species, Neobacillus paridis, distinguished from other known species by genotypic and phenotypic features.
ARCHIVES OF MICROBIOLOGY
(2022)
Article
Microbiology
Peng-Chao Zhan, Rui-Feng Mao, Cong-Jian Li, Zhen Zhang, Jing-Ran Liu, Mei Tang, Xiao-Yang Zhi, Ling-Ling Yang
Summary: A new bacterial strain named Azospirillum endophyticum was isolated from the root of Paris polyphylla Smith var. yunnanensis in Yunnan Province, China. The strain belongs to the Azospirillum genus and shows distinct genotypic and phenotypic differences from other known species of the genus.
CURRENT MICROBIOLOGY
(2023)
Review
Biotechnology & Applied Microbiology
Nong Zhou, Lingfeng Xu, Sun-Min Park, Ming-Guo Ma, Sun-Eun Choi, Chuanling Si
Summary: This review article discusses the genetic diversity, chemical components, and the influence of arbuscular mycorrhizal fungi on Paris polyphylla var. yunnanensis biomass resources. It highlights the potential value of utilizing this biomass resource in the biomedical field.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Agronomy
Hongxiang Yin, Kaiyuan Zhang, Zixuan Ren, Jiawen Zhao, Chi Gao, Rong Chen
Summary: A rapid and specific visual fluorescent identification method was established for accurate identification of Paris polyphylla Smith. var. yunnanensis (PPY) and its adulterants, providing a model for accurate identification of traditional Chinese medicine.
Article
Spectroscopy
JiaQi Yue, ZhiMin Li, ZhiTian Zuo, YanLi Zhao, Ji Zhang, YuanZhong Wang
Summary: This study successfully identified and analyzed different harvest years of Paris polyphylla var. yunnanensis using 2DCOS combined with deep learning, providing a new approach for the identification of medicinal plants. Results showed that the eight-year-old P. polyphylla var. yunnanensis from Dali has higher economic and medicinal value, validating the effectiveness of the method.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Genetics & Heredity
Dan Wang, Yu Huang, Lu Rui, Huihui Du, Junsheng Qi, Mingguo Ma, Nong Zhou
Summary: This study investigated the genetic diversity and structure of wild and cultivated populations of Paris polyphylla var. yunnanensis using cpDNA trnL-trnF sequences. The cultivated populations showed higher haplotype richness and genetic diversity compared to the wild populations, which may be attributed to their mixed provenance. There was a geographical and genetic connection between the wild populations, while no significant genetic differentiation was observed between the wild and cultivated populations.
Article
Multidisciplinary Sciences
Li-Zhen Ling, Shu-Dong Zhang
Summary: This study investigates the mechanisms of seed germination in Paris polyphylla var. yunnanensis, a scarce plant used in traditional Chinese medicine. Protein profiles of mature and germinating seeds were compared, revealing metabolic pathways and secondary metabolite biosynthesis as key pathways. Hormone quantification showed a decrease in abscisic acid (ABA) levels and an increase in GA3 levels, resulting in an increased GA3/ABA ratio. Further analysis of ABA and GA biosynthesis pathways suggested that the expression patterns of regulatory genes do not correlate with protein expressions.
Article
Plant Sciences
Zhuo-Wei Li, Yue-Heng Wang, Chang Liu, Ying-Mei Wu, Guo-Xin Lan, Yan-Bin Xue, Qiang-Sheng Wu, Nong Zhou
Summary: Paris polyphylla var. yunnanensis, a medicinal plant from Yunnan (China), has been artificially cultivated due to over-harvesting. The excessive use of phosphorus fertilization has negative environmental impacts, thus using organophosphate-degrading bacteria (OPDB) is a sustainable approach to improve P use efficiency. This study analyzed the effects of three organic phosphate-solubilizing bacteria on the yield and quality of P. polyphylla var. yunnanensis and soil P concentrations. All inoculation treatments significantly increased rhizome biomass, steroidal and total saponin concentrations, and soil Olsen-P and organic P. The best results were observed in the group inoculated with all three OPDB strains, showing increases in rhizome biomass, steroidal saponins, available phosphorus, and total phosphorus content. Inoculation with B. mycoides and B. wiedmannii resulted in the highest total saponin content, while B. wiedmannii and B. proteolyticus increased organic P content the most. Overall, inoculation with OPDB improved the biomass and medicinal ingredients of P. polyphylla var. yunnanensis rhizomes, along with increasing soil P fertility, and the mixture of the three bacteria had the best performance.
Article
Microbiology
Yihan Wang, Gongyou Zhang, Ya Huang, Min Guo, Juhui Song, Tingting Zhang, Yaohang Long, Bing Wang, Hongmei Liu
Summary: The study isolated siderophilic bacteria from the rhizosphere soil of Paris polyphylla var. yunnanensis (PPVY) and found that most of the isolates produced siderophores. One strain, AS19, showed potential in promoting plant growth and seed germination. This study broadens the application prospects of the siderophilic bacteria AS19 as biofertilizers in sustainable agriculture.
FRONTIERS IN MICROBIOLOGY
(2022)
Article
Microbiology
Zhen Zhang, En-Min Zhou, Cong-Jian Li, Xing-Wang Jiang, Rui-Feng Mao, Jing-Ran Liu, Xiao-Yang Zhi, Ling-Ling Yang
Summary: In this study, a novel endophytic actinobacterium strain YIM B02568(T) was isolated from the root of Paris polyphylla Smith var. Yunnanensis. It was characterized using a polyphasic approach and identified as a new species within the genus Janibacter, named Janibacter endophyticus. This finding enriches our knowledge of microbial diversity and contributes to the understanding of endophytic bacteria.
CURRENT MICROBIOLOGY
(2022)
Article
Plant Sciences
Zhengbin Tang, Jia Zhao, Bin Yang, Shan Sun, Furong Xu, Zhoufei Wang
Summary: In this study, RNA sequencing was used to analyze the differentially expressed genes (DEGs) during seed germination of Paris polyphylla var. yunnanensis. Several genes potentially involved in seed germination were identified, providing a valuable resource for further studying the molecular basis of seed germination in this medicinal plant.
Article
Multidisciplinary Sciences
Jingyu Hu, Tianli Miao, Kaijuan Que, Md. Siddiqur Rahman, Lei Zhang, Xian Dong, Pengzhang Ji, Jiahong Dong
Summary: A novel betanucleorhabdovirus, named Paris yunnanensis rhabdovirus 1 (PyRV1), was discovered in Yunnan Province, China. The virus causes vein clearing, leaf crinkle, yellowing, and necrosis in infected Paris polyphylla var. yunnanensis plants. Electron microscopy revealed the presence of enveloped bacilliform particles. PyRV1 has a complete genome of 13,509 nucleotides, and its genomic organization and protein encoding characteristics are similar to other rhabdoviruses. Phylogenetic analysis showed that PyRV1 is a new species of the genus Betanucleorhabdovirus, sharing highest sequence identity with Sonchus yellow net virus (SYNV).
SCIENTIFIC REPORTS
(2023)
Article
Virology
Qiongji He, Binghua Chen, Hongying Zheng, Yuhao Cao, Mengyin Hua, Yueyan Yin, Jiejun Peng, Junmin Li, Jianping Chen, Fei Yan, Xuemei Song, Lin Lin
Summary: A novel virus infecting a Paris polyphylla var. yunnanensis plant, named Paris polyphylla chlorotic mottle virus (PpCMV), was discovered in Lijiang, Yunnan Province, China. The virus has a genome consisting of two open reading frames and is closely related to two other capilloviruses. This is the first report of the complete genome sequence of PpCMV in China.
ARCHIVES OF VIROLOGY
(2023)
Review
Microbiology
Zhen Zhang, Ling-Ling Yang, Cong-Jian Li, Xing-Wang Jiang, Xiao-Yang Zhi
Summary: Strain YIM B02567(T) is a novel yellow-pigmented bacterial strain that belongs to the genus Chryseobacterium, showing distinct genotypic and phenotypic characteristics.
ARCHIVES OF MICROBIOLOGY
(2021)
Article
Chemistry, Medicinal
Xiao-Hui Li, Wei Jiang, Yan Guo, Qian Li, Jin-Fu Wan
Summary: Phytochemical investigation of Paris polyphylla var. yunnanensis extract led to the discovery of three new steroidal sapogenins, paripolins A-C (1-3). The structures of the isolated compounds were determined using comprehensive spectroscopic techniques (NMR, IR, UV, MS), and subsequently evaluated for anti-inflammatory activity.
Article
Food Science & Technology
JiaQi Yue, ZhiMin Li, ZhiTian Zuo, YiJun Liao, HengYu Huang, YuanZhong Wang
Summary: This study investigated the accumulation of fungi elements and chemical components in Wolfiporia cocos from different geographical areas, sampling sites, and altitude sources using multielement analysis, FTIR spectrum, and feature-level fusion technique. The results showed significant differences in element content among different sampling sites and a correlation between elevation and elements. The developed method was reliable for the genuineness evaluation and origin identification of W. cocos.
JOURNAL OF FOOD SCIENCE
(2021)
Article
Agriculture, Multidisciplinary
Li Wang, Honggao Liu, Tao Li, Jieqing Li, Yuanzhong Wang
Summary: The study shows that deep learning based on FT-NIR spectroscopy is the most effective method to identify the edible safety of porcini mushrooms, with a recognition accuracy of 100%. By comparing deep learning with partial least square discriminant analysis (PLS-DA), it was found that while the accuracy of PLS-DA test set is 96.10%, poisonous porcini cannot be wrongly judged. Additionally, deep learning can trace the geographic origin of Leccinum rugosiceps in the Midu area with 100% accuracy.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2022)
Article
Biochemical Research Methods
Jia Qi Yue, Heng Yu Huang, Yuan Zhong Wang
Summary: This study proposed a method combining deep learning and 2DCOS for rapid identification of medicinal plants, achieving 100% accuracy in origin identification for Paris polyphylla var. yunnanensis. The ResNet models are stable, reliable, and robust, expanding the application field of deep learning and providing practical reference for related research of other medicinal plants.
PHYTOCHEMICAL ANALYSIS
(2022)
Article
Biochemical Research Methods
Lian Li, Zhi-Tian Zuo, Yuan-Zhong Wang
Summary: This study successfully identified the geographical traceability of different parts of Wolfiporia cocos using two-dimensional correlation spectroscopy and multivariate statistical analysis methods such as residual convolutional neural network and partial least square discriminant analysis. The results showed that synchronous SD 2DCOS was more suitable for identifying complex mixed systems. These methods can provide technical support for the identification and quality evaluation of herbal geographical origins.
PHYTOCHEMICAL ANALYSIS
(2022)
Article
Food Science & Technology
Jian Chen, Jie qing Li, Tao Li, Hong gao Liu, Yuan zhong Wang
Summary: This study developed a rapid method using near-infrared spectroscopy to identify the storage duration and species of sliced boletes. A strategy based on two-dimensional correlation spectroscopy images and residual convolutional neural network model showed superior classification performance, providing a promising way for authenticity testing in the supply chain of boletes.
JOURNAL OF FOOD SCIENCE
(2022)
Article
Biochemical Research Methods
Zhi-Ying Cui, Chun-Lu Liu, Dan-Dan Li, Yuan-Zhong Wang, Fu-Rong Xu
Summary: This study aimed to analyze the correlation of components and activities of P. notoginseng from different origins and develop a rapid identification method. Pharmacological experiments, HPLC, and spectroscopy combined with chemometrics methods were conducted to analyze the main roots of P. notoginseng from four different origins in Yunnan Province. The results showed that the saponin content of P. notoginseng main roots was not significantly different, but the anticoagulant activity was positively correlated with the contents of the three saponins. The variable selection method improved the performance of the model, and the variable importance in projection had the best ability to identify the origins of P. notoginseng.
PHYTOCHEMICAL ANALYSIS
(2022)
Article
Environmental Sciences
Ji Zhang, Jerzy Falandysz, Anetta Hanc, Wiktor Lorenc, Yuanzhong Wang, Danuta Baralkiewicz
Summary: This study investigated the occurrence, distribution, and associations of various elements in the inner and outer parts of Pachyma hoelen sclerotia in Southern China. The quality of forest and agricultural soil was found to be the main factor determining the occurrence of minerals in sclerotia. The concentration of elements was generally higher in the outer part compared to the inner part, except for silver. Additionally, there were different association patterns of elements in different morphological parts of the sclerotia. Further research should be conducted to assess the relationship between minerals and bioactive organic compounds produced by P. hoelen.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Automation & Control Systems
Xiong Chen, Hong Gao Liu, Jie Qing Li, Yuan Zhong Wang
Summary: This study developed a method to simultaneously identify the species and geographical origins of boletes. By combining Fourier transform near-infrared data and residual neural network image analysis model, reliable identification of boletes can be achieved. In addition, the important environmental factors affecting the distribution of boletes were identified using the maximum entropy model, highlighting the crucial role of precipitation factors in the distribution and chemical composition differences of boletes.
JOURNAL OF CHEMOMETRICS
(2022)
Review
Microbiology
Shuai Liu, Honggao Liu, Jieqing Li, Yuanzhong Wang
Summary: Wild edible mushrooms are delicious seasonal foods that are rich in nutrients but may also contain harmful heavy metals. This paper reviews the content of essential trace elements and harmful heavy metals in nearly 400 species of wild edible mushrooms, and analyzes the internal and external factors that affect elemental content.
Article
Biochemical Research Methods
Chunlu Liu, Furong Xu, Zhitian Zuo, Yuanzhong Wang
Summary: This study conducted a comprehensive analysis on the action mechanism, component content, origin identification, and content prediction of Panax notoginseng. Four saponins were identified as Q-markers, and exerted pharmacological effects on signaling pathways through 24 core targets. HPLC analysis revealed differences among groups and different origins. Suitable producing areas were determined through the mechanism of action and the required saponin content. The low-level data fusion successfully identified the origin and predicted the content of Panax notoginseng from different origins.
PHYTOCHEMICAL ANALYSIS
(2023)
Article
Food Science & Technology
Yulin Xu, Weize Yang, Xuewei Wu, Yuanzhong Wang, Jinyu Zhang
Summary: This study compares traditional models with a deep learning model called ResNet and finds that ResNet has significant advantages in feature extraction and recognition. Preprocessing plays a crucial role in feature extraction and model performance, and VIP features yield the best results in traditional modelling. This research is practically significant for the application development of ResNet model in foods, spices, and medicinal plants.
Article
Chemistry, Analytical
Yuangui Yang, Fan Li, Hongbo Xu, Zhishu Tang, Yuanzhong Wang
Summary: In this study, UHPLC-QTOF-MS and FT-IR combined with multivariable analysis were used to discriminate different species of Paris. The midlevel data fusion showed good performance in classification. A total of 47 compounds were identified using UHPLC-QTOF-MS. The results suggested that PM could be a substitute for PPY.
INTERNATIONAL JOURNAL OF ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Multidisciplinary
Hong Liu, Honggao Liu, Jieqing Li, Yuanzhong Wang
Summary: This research collected Fourier transform near-infrared (FT-NIR) spectral information of different species of porcini mushroom stipe and cap and used chemometric methods and machine learning for accurate evaluation and identification. The results showed high accuracies of the models based on support vector machine and partial least-squares discriminant analysis (PLS-DA), reaching 98.73-99.04% and 98.73-99.68%, respectively. The models based on low-level data fusion and residual neural network achieved the highest accuracies of 99.68% and 100%, respectively. The study suggests that different models should be selected for different spectral data matrices of porcini mushrooms, and FT-NIR spectra are promising in food safety control.
Article
Food Science & Technology
Shuai Liu, Honggao Liu, Jieqing Li, Yuanzhong Wang
Summary: This study combines three-dimensional correlation spectroscopy (3DCOS) images with deep learning models to quickly and accurately identify wild and cultivated Gastrodia elata. The spectral data used for model building do not require preprocessing and are converted into three-dimensional spectral images. A partial least squares discriminant analysis (PLS-DA) model and a support vector machine (SVM) model are also built for comparison. The deep learning model outperforms the traditional chemometric models, achieving 100% accuracy in multiple sets without preprocessing.
FOOD SCIENCE & NUTRITION
(2023)
Article
Food Science & Technology
Hui Wen, Tianmei Yang, Weize Yang, Meiquan Yang, Yuanzhong Wang, Jinyu Zhang
Summary: In this study, the differences in metabolites in thirteen Zingiberaceae spices were explored using GC-MS and combined spectroscopy. A total of 81 metabolites were identified by GC-MS, with 37 differential metabolites screened using VIP >= 1. However, the OPLS-DA model established with GC-MS data only explained about 30% of the variation. On the other hand, the PLS-DA models with three spectral data fusion strategies achieved a classification accuracy of 100%. The mid-level data fusion model based on latent variables performed the best. This study provides a powerful tool for distinguishing different Zingiberaceae spices and helps reduce the occurrence of substitution and adulteration phenomena.
Article
Spectroscopy
Zh. E. Ozbekova, A. A. Abdyldaev, A. A. Kulmyrzaev
Summary: This study compared two drying methods for cow and yak muscles, finding that freeze drying caused less discoloration. Additionally, analysis of fluorescence spectra allowed for accurate prediction of chemical composition and color characteristics of the muscles.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Leo Mandic, Ivan Ljubic, Iva Dzeba
Summary: In this study, a combined experimental and computational approach was used to investigate the photoexcitation and photodegradation mechanisms of Doxazosin (DOX). The results provide valuable insights into the primary events following the photoexcitation of DOX and its potential applications.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Xiufeng Wang, Yao Jin, Wenhui Ai, Siqi Wang, Zhiqing Zhang, Ting Zhou, Fang Wang, Guodong Zhang
Summary: This study successfully synthesized near infrared fluorescence Ag2S quantum dots (QDs) and developed a dual-mode sensor for sulfide anion using the excellent oxidase-like characteristics of manganese dioxide (MnO2) nanosheets. The sensor showed a wider detection range, higher sensitivity, and shorter reaction time, making it suitable for highly selective detection of sulfide in different concentration ranges.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Yafei Li, Yanming Ma, Chuantao Zheng, Di Yu, Lien Hu, Shuo Yang, Fang Song, Yadan Li, Shuanghai Liu, Zhanrui Zhang, Yu Zhang, Yiding Wang, Frank K. Tittel
Summary: To effectively monitor gas explosion and coal spontaneous combustion in coal mine, an intrinsically safe and explosion-proof dual-gas sensor system was developed for methane (CH4) and carbon monoxide (CO) measurement. The system achieved different measurement ranges using laser scanning and gas cells, and improved stability and accuracy through gas pre-treatment and temperature compensation algorithm.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Pei-Rong Chen, Li-Kang Chu
Summary: In this study, the hydrates of glyoxal were investigated using infrared absorption spectrometry. The results showed that at low concentrations, glyoxal mainly exists as monomeric dihydrate. These findings provide suitable detection windows for further research on the roles of glyoxal and its hydrates in atmospheric and aerosol chemistry, as well as the relevant reaction kinetics.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Nichole O'Neill, Thamires A. Lima, Fabio Furlan Ferreira, Nicolas J. Alvarez, Reinhard Schweitzer-Stenner
Summary: This study determines the main fibril axis of GHG gel-forming fibrils using various techniques and compares the results with simulated data. The analysis suggests that the hydrophobic xz-surfaces of GHG fibrils could be a good target for the adsorption of hydrophobic drugs.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Mengyuan Liu, Hanchuang Zhu, Yikun Fang, Caiyun Liu, Xinke Li, Xiaohui Zhang, Lixue Ma, Kun Wang, Miaohui Yu, Wenlong Sheng, Baocun Zhu
Summary: ABHS is an efficient fluorescent probe that can accurately and sensitively detect Al3+ with strong resistance to interference. It also demonstrates excellent detection and imaging capabilities in complex real samples.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Ahmed S. El-Shafie, Evana Rahman, Yasser Gadelhak, Rehab Mahmoud, Marwa El-Azary
Summary: The recycling of waste mandarin peels into biochar (MRBC) has been used as a high performance and cost-effective adsorbent for treating polluted wastewater effluents. Batch adsorption studies were conducted to analyze the adsorption competency of MRBC on two dyes, methylene blue (MB) and basic fuchsin (BF), either in individual solutions or binary combinations. The results showed that MRBC was capable of effectively removing a high percentage of both dyes. However, the adsorption capacity decreased when the dyes were combined. The cost estimation of MRBC production and wastewater treatment indicated that both were relatively low.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Anindita Bhatta, Jahnabi Upadhyaya, Dipak Chamlagai, Lincoln Dkhar, Pynskhemborlang T. Phanrang, Mohan Rao Kollipara, Sivaprasad Mitra
Summary: Derivatives of thiazole-pyrazole fused benzo-coumarin compounds were synthesized and their photophysical properties were investigated. The synthesized coumarin compounds showed potential as therapeutic agents for Alzheimer's disease, inhibiting acetylcholinesterase activity. The presence of human serum albumin was found to affect the inhibition activity.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Yongwei Duan, Quancheng Liu, Yiju Zhu, Qi Zhang, Xiaohui Duan, Hu Deng, Liping Shang
Summary: In this study, the phase transition of CL-20 was observed using terahertz spectroscopy, and quantum chemical calculations were employed to analyze the vibrations. The results indicated changes in the vibrations of CL-20 before and after phase transition.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Yuefeng Gao, Sai Xu, Baojiu Chen
Summary: This study synthesized Cs2NaInCl6 nanocrystals co-doped with Sb3+ and Tb3+ ions as probes for copper ions detection in lubricating oil. The introduction of Sb3+ effectively reduced the band gap of the host material and enabled energy transfer pathway for Tb3+ emission. The doped Tb3+ ions resulted in the suppression of emission due to electron transfer. The Cs2NaInCl6: 2.5 %Sb3+, 40 %Tb3+ NCs exhibited superior sensitivity and selectivity for copper ions detection.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Yu Liu, Yue Zhang, Changyao Liu, Ce Wang, Baocai Xu, Li Zhao
Summary: A highly sensitive detection platform for heparin was developed using a cationic fluorescent dye (cresyl violet acetate) as a fluorescence probe. The platform demonstrated high selectivity towards heparin and achieved detection in both HEPES solution and serum.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Lopamudra Roy, Nivedita Pan, Susmita Mondal, Ria Ghosh, Md. Nur Hasan, Neha Bhattacharyya, Soumendra Singh, Kallol Bhattacharyya, Arpita Chattopadhyay, Samir Kumar Pal
Summary: The study focuses on the interaction between reactive oxygen species (ROS) and a spectroscopic probe called Rose Bengal (RB), encapsulated in nanoscopic sodium dodecyl sulphate (SDS) micelles and entrapped in microscopic nylon 66 solid matrix. The research demonstrates efficient interaction between ROS and RB-SDS, and investigates the mechanism of hydroxyl radicals generation. Based on these findings, a prototype device utilizing RB embedded in a nylon thin film for quantification of ROS in extracellular fluids and food materials was developed.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Xiaosong Sun, Qihao Cui, Wenyue Dong, Qian Duan, Teng Fei
Summary: Conjugated porous polymers (CPPs) are promising sensing materials and their application in aqueous media is limited. In this study, we synthesized CPPs with porous structure and prepared nanoparticles, enabling efficient photoluminescence sensing of nitroaromatic explosives in aqueous phase.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Maria Cristina Caggiani, Germana Barone, Paolo Mazzoleni
Summary: Raman spectroscopy is commonly used for studying glassy materials in cultural heritage, but it is more difficult to interpret the spectra and apply the technique with portable instruments. In contrast, diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) can be used in archaeometric investigations as it is portable and non-invasive. However, there is limited application of this technique to historical glasses. This exploratory work demonstrates the potential of DRIFTS, in combination with portable X-ray Fluorescence (pXRF) and EDS microanalyses, for studying the composition and alteration of glass samples in cultural heritage.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)